Bill Maris

Let's stick to machine learning.

Let's stick to machine learning.

By the way, when you say AI, it freaks people out.

By the way, when you say AI, it freaks people out.

So stop freaking people out.

So stop freaking people out.

So we had to call it machine learning.

So we had to call it machine learning.

And we used machine learning to do two things, design

And we used machine learning to do two things, design

the ideal portfolio construction by running millions and millions of simulations and backtesting and all of the things you can imagine that data scientists would do, and to determine what the ideal fund size would be.

the ideal portfolio construction by running millions and millions of simulations and backtesting and all of the things you can imagine that data scientists would do, and to determine what the ideal fund size would be.

And people were excited.

And people were excited.

Here's a headline from TechCrunch at the time.

Here's a headline from TechCrunch at the time.

And people inside of Google were also pretty excited.

And people inside of Google were also pretty excited.

This is one of the senior execs I later learned had this to say.

This is one of the senior execs I later learned had this to say.